49949
2016 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: McKenzie River
or2016_dogami_mckenzie_m6317_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2017-07-15
Quantum Spatial collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) McKenzie River study area. This study area is located near Eugene, Oregon. The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public.
In May and June 2016 QSI employed remote-sensing lasers in order to obtain a total area flown of 141,508 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. The LiDAR survey occurred between May 28 and June 21 of 2016, utilizing a Leica ALS80 mounted in a Cessna Grand Caravan. The systems were programmed to emit single pulses at around 189 kHz and flown at 1,500 m AGL, capturing a scan angle of 15 degrees from nadir. These settings were developed to yield points with an average native density of greater than eight pulses per square meter over terrestrial surfaces.
Final products created include 6-inch orthophotos, RGB extracted (from NAIP imagery) LiDAR point cloud data, three foot digital elevation models of highest hit and bare earth ground models, 1.5 foot intensity rasters, 1.5 foot ground density, study area vector shapes, and corresponding statistical data. Final deliverables were projected in Oregon Statewide Lambert Conformal Conic. Lidar point clouds were projected back to geographic coordinates for storage in the Digital Coast Data Access Viewer.
Original contact information:
Contact Name: Jacob Edwards
Contact Org: DOGAMI
Phone: 971-673-1557
Email: jacob.edwards@oregon.gov
Provide high resolution terrain elevation data.
10593
A final report for this project may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6317/supplemental/2016_McKenzie_Final_Data_Report.pdf
Theme
ISO 19115 Topic Category
elevation
Theme
Bare earth
Theme
Bare ground
Theme
DOGAMI
Theme
High-resolution
Theme
Light Detection and Ranging
Office for Coastal Management
Charleston
SC
Data Set
None Planned
Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon Department of Geology and Mineral Industries (DOGAMI), the Office for Coastal Management or its partners.
DOGAMI
Data Steward
2017-07-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2017-07-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2017-07-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2017-07-15
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-122.989498
-122.011206
44.32608
44.010132
Range
2015-05-28
2016-06-21
Yes
Unclassified
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer
;
None
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no
longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its
limitations.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6317
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6317/index.html
Bulk Download
Simple download of data files.
https://coast.noaa.gov
Online Resource
https://coast.noaa.gov/dataviewer
Online Resource
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/6317/supplemental/2016_McKenzie_Final_Data_Report.pdf
Lidar Report
Online Resource
pdf
Link to the Quantum Spatial lidar report.
2017-07-06
Date that the source FGDC record was last modified.
2017-11-14
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
unknown
Vertical Accuracy reporting is designed to meet guidelines presented in the National Standard for Spatial Data Accuracy (NSSDA) (FGDC, 1998) and the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2014). The statistical model compares known ground survey points (GSPs) to the closest laser point. Vertical accuracy statistical analysis uses ground survey points in open areas where the LiDAR system has a "very high probability" that the sensor will measure the ground surface and is evaluated at the 95th percentile.
For the OLC McKenzie River study area, a total of 1,723 GSPs were collected. An additional 56 reserved ground survey points were collected for independent verification, resulting in a non-vegetated vertical accuracy (NVA) of 0.054 meters.
For more information about the vertical accuracy, please refer to the final report, listed above in the Supplemental_Information field
of this metadata record.
; Quantitative Value: 0.054 meters, Test that produced the value: Tested to meet FVA at a 95 percent confidence level in meters.
LiDAR data has been collected and processed for all areas within the project study area.
Upon receipt from vendor (Quantum Spatial), all LiDAR data was independently reviewed by staff from the Oregon Department of Geology and Mineral Industries (DOGAMI) to ensure project specifications were met. All data were inventoried for completeness and data were checked for quality, which included examining LiDAR data for errors associated with internal data consistency, model quality, and accuracy.
1
The LiDAR survey occurred between May 28, 2016 and June 21, 2016 utilizing a Leica ALS80 mounted in a Cessna Grand Caravan. The systems were programmed to emit single pulses at around 189 kHz and flown at 1,500 m AGL, capturing a scan angle of 15 degrees from nadir. These settings were developed to yield points with an average native density of greater than eight pulses per square meter over terrestrial surfaces. To solve for laser point position, an accurate description of aircraft position and attitude is vital. Aircraft position is described as x, y, and z and was measured twice per second (two hertz) by an onboard differential GPS unit. Aircraft attitude is described as pitch, roll, and yaw (heading) and was measured 200 times per second (200 hertz) from an onboard inertial measurement unit (IMU).
2016-01-01T00:00:00
2
The NOAA Office for Coastal Management (OCM) received the files in laz format. The files contained Lidar elevation and intensity measurements. The data were in Oregon Lambert (NAD83 2011 Epoch 2010.0), International Feet coordinates and NAVD88 (Geoid12a) vertical feet. OCM performed the following processing to the data to make it available within the Digital Coast:
1. The data were converted from Oregon Lambert (NAD83), International Feet coordinates to geographic coordinates.
2. The vertical units of the data were converted from International feet to meters.
3. The data were converted from NAVD88 (orthometric) heights to NAD83(2011) ellipsoid heights using Geoid12b grids.
The data was received without a metadata record. This record was produced based on the data quality report.
2017-06-01T00:00:00
gov.noaa.nmfs.inport:49949
Anne Ball
2017-11-15T15:23:20
SysAdmin InPortAdmin
2022-08-09T17:11:37
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16